Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Indonesian
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use wrice/whisper-small-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wrice/whisper-small-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="wrice/whisper-small-id")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("wrice/whisper-small-id") model = AutoModelForSpeechSeq2Seq.from_pretrained("wrice/whisper-small-id", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from wrice/whisper-small-id: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/wrice/whisper-small-id/resolve/main/training_args.bin
- Command line
-
hf download hf://wrice/whisper-small-id/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/wrice/whisper-small-id/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- c9aef524e29178e14d6a0fb2604daf71d3e8f471402fd65d98d7447e68797066
- Size of remote file:
- 5.5 kB
- SHA256:
- 2bdbc34691ba1fe56101f32ce38830a48068379468ea0bbf42a15d9aff1a412f
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